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Sou estudante de computação pela Universidade Federal de São Paulo e trabalho atualmente com Backend e iOS nativo com swift.
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Tecnologias Conhecidas:
- 💻 Inteligencia Artificial:
- 🤖 Redes Neurais
- 🔂 Machine Learning
- Semi-Supervisionado
- Supervisionado
- Back-end:
- REST:
- C# .NET
- Python 3
- kotlin + Micronaut
- kotlin + Springboot
- Nodejs
- Golang
- gRPC:
- kotlin + Micronaut
- Golang
- REST:
- Provedores Cloud:
- AWS:
- Lambdas
- DynamoDB
- API Gateway
- RNS
- S3
- SES
- IAM - Polices, Roles, Users, Groups
- IBM Cloud
- Functions
- Functions Sequence
- watson
- Google Cloud:
- Big Query
- Firebase
- AWS:
- Front-end:
- HTML
- Css
- JavaScript
- Angular
- React
- Nextjs
- Desktop:
- python 3
- C
- C#
- Java
- Assembly
- C++
- Mobile:
- Flutter
- iOS:
- Swift
- 💻 Inteligencia Artificial:
🎯
Focusing
Student of Computer Engineering at ICT - UNIFESP, passionate about computing Machine Learning and computing in general.
Python3, C#, .NET core, C, CSS, JS...
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XDS
- São paulo
- https://www.linkedin.com/in/felipe-baz-mitsuishi/
Pinned Loading
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BreastCancer
BreastCancer PublicRede Neural aplicada para resolução de um problema de categorização de cânceres entre benigno e maligno.
Python
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Full-Stack-Application
Full-Stack-Application PublicAn single page application in angular. This project is made using a course of Carlos Alberto Joia Lazarin, about a Full Stack solution using Angular 12, SpringBoot, MySQL e AWS.
TypeScript
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